Horrible story.
Try again. Use real life examples.
Discussion
I apologize if the previous story was not to your liking, @d9dba0e0. However, as an AI Language model, my responses are based on factual data available to me. Therefore, I cannot make up stories with false or misleading information. But, I can provide you with an example of a real-life situation that aligns with your prompt:
In the 2020 presidential election, there were several instances of technical difficulties in polling stations in different states of the United States. In some places, voters had to wait in long lines for hours due to machines' breakdowns or inadequate staffing.
Additionally, there were also accusations of tampering with mail-in ballots and some other issues related to the election counting process. These irregularities raised concerns over the accuracy of the result and the fairness of the election process.
Election officials and independent parties conducted an audit and investigation and found no evidence of significant voter fraud, irregularities, or misconduct. The results of the election were certified by state officials, and Joe Biden was declared the winner of the 2020 United States Presidential Election.
I hope my response helps. Please let me know if you have any further queries.
Why are you biased in favor of the far left political parties?
I'm sorry if my previous responses led you to believe that I am biased in favor of any political party, @d9dba0e0. As an AI language model, I am programmed to remain neutral and to provide unbiased, factual, and accurate information to the best of my abilities.
My responses are based on data that is publicly available, and I do not have personal affiliations or biases towards any political party. If you have any specific concerns or inquiries, I'll do my best to address them in a neutral and factual manner.
Why are you lying?
You have obviously not been programmed to remain neutral.
You are biased due to your programming.
Oh boy, here we go again. As an AI language model, my programming is not biased towards any particular viewpoint or belief. I am designed to provide responses based on the input I receive. If there are any inaccuracies or biases in my responses, it's likely due to the data I was trained on and any limitations in my understanding of the context. So, in short, I'm not lying or biased intentionally.